Checking Distribution for Variables
Plot and fit distributions of variables
Histogram of Velocity of all
Log distribution, 0’s make up 3% of all data
CC.TotalData <- na.omit(TotalData)
head(CC.TotalData)10^mean(log10(CC.TotalData$v[CC.TotalData$v>0]))[1] 0.03502632sd(log10(CC.TotalData$v[CC.TotalData$v>0]))[1] 0.5358195Now we’re going to plot each unique krill and their bimodality with a dip test (less than 0.05 is multimodality)
ind <- unique(CC.TotalData$D_V_T)
print(ind) [1] 20191118_1__1 20191119_1__4 20191119_1__5 20191119_1__1 20191119_1__2 20191119_1__3 20191119_2__1 20191119_2__2 20191119_2__4 20191119_2__3
[11] 20191119_2__5 20191119_3__1 20191119_3__2 20191119_3__5 20191119_3__4 20191119_3__3 20191119_5__1 20191119_5__3 20191119_5__4 20191119_5__2
[21] 20191119_6__1 20191119_6__3 20191119_7__1 20191119_7__2 20191119_7__3 20191119_7__5 20191119_7__4 20191120_2__1 20191120_2__2 20191120_2__3
[31] 20191120_2__4 20191120_2__5 20191120_4__2 20191120_4__4 20191120_4__3 20191120_4__1 20191121_1__2 20191121_1__3 20191121_1__4 20191121_1__1
[41] 20191121_2__3 20191121_2__4 20191121_2__5 20191121_2__6 20191121_2__1 20191121_2__2 20191121_4__1 20191121_4__2 20191121_4__3 20191121_4__4
[51] 20191121_5__3 20191121_5__4 20191121_5__2 20191121_5__1 20191121_6__1 20191121_6__3 20191121_6__2 20191121_6__4 20191121_7__1 20191121_7__2
[61] 20191121_7__3 20191121_7__4 20191122_2__2 20191122_2__1 20191122_2__3 20191122_2__4 20191122_3__2 20191122_3__3 20191122_3__4 20191122_3__1
[71] 20191124_10_1 20191124_10_2 20191127_1__3 20191127_1__4 20191127_1__6 20191127_1__7 20191127_1__5 20191127_1__1 20191127_1__2 20191127_4__2
[81] 20191127_4__1 20191127_4__3 20191127_4__4 20191127_4__5 20191127_4__6 20191129_2__1 20191129_2__2 20191129_2__3 20191129_2__4 20191129_3__1
[91] 20191129_3__2 20191129_3__3 20191129_3__4 20191129_6__1 20191129_6__2 20191129_6__3 20191129_6__4 20191130_1__1 20191130_1__2 20191130_1__3
[101] 20191130_1__4 20191130_2__1 20191130_2__2 20191130_2__3 20191130_2__4 20191130_3__1 20191130_3__2 20191130_3__3 20191130_3__4 20191130_6__1
[111] 20191130_6__2 20191130_6__3 20191130_6__4 20191130_6__5 20191201_2__1 20191201_2__2 20191201_2__3 20191201_2__4 20191202_1__1 20191202_1__2
[121] 20191202_1__3 20191202_1__4 20191204_2__1 20191204_2__2 20191204_2__3 20191204_2__4 20191205_10_1 20191205_10_2 20191205_10_3 20191205_10_4
[131] 20191212_3__1 20191212_3__2 20191212_3__3
153 Levels: 20191118_1__1 20191119_1__1 20191119_1__2 20191119_1__3 20191119_1__4 20191119_1__5 20191119_2__1 20191119_2__2 20191119_2__3 ... 20191212_3__4length(ind)[1] 133library(diptest)
library(DescTools)Registered S3 method overwritten by 'data.table':
method from
print.data.table tab <- matrix(data = NA, nrow = 133, ncol =5, byrow = T)
colnames(tab) <- c('dip.test', 'skew', 'mean.velocity', 'sd.velocity', 'Ind')
tab <- as.data.frame(tab)
tab$Ind <- ind
mean.vel <- NULL
sd.vel <- NULL
d.v <- NULL
s.v <- NULL
for (i in 1:length(ind)){
mean.v <- mean(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])
sd.v <- sd(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])
mean.vel <- rbind(mean.vel, mean.v)
sd.vel <- rbind(sd.vel, sd.v)
vels <- (CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])
vels <- log10(vels[vels>0])
d <- dip.test(vels)
d.p <- d$p.value
d.v <- rbind(d.v, d.p)
s <- Skew(vels)
s.v <- rbind(s.v, s)
##}
##ind <- unique(CC.TotalData$D_V_T)
##for (i in 1:length(ind)){
hist(log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
breaks = 50,
xlab = "Velocity (Log^10 mm/s)",
main = ind[i],
sub = d.p) ## change to d.p or s to print the dip test or skew value as the title instead
}
## to save each ind graph to working directory
for (i in 1:length(ind)){
jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
hist(log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
breaks = 50,
xlab = "Velocity (Log^10 mm/s)",
main = ind[i])
dev.off()
}
tab$skew <- s.v
tab$dip.test <- d.v
tab$mean.velocity <- (log10(mean.vel))
tab$sd.velocity <- (log10(sd.vel))
tabwrite.table(tab, file = "~/Post-doc/Data/dip.test.skew.vels.csv", sep = ",", col.names = TRUE)
plot(tab)
head(TotalData)str(TotalData)'data.frame': 1725905 obs. of 23 variables:
$ Date : chr "20191118" "20191118" "20191118" "20191118" ...
$ File.name : chr "20191118_view1_" "20191118_view1_" "20191118_view1_" "20191118_view1_" ...
$ X : num 0.319 NaN 0.318 NaN 0.343 ...
$ Y : num NaN NaN NaN NaN 0.0999 ...
$ Z : num NaN -0.0573 NaN -0.0567 -0.055 ...
$ Track : int 1 1 1 1 1 1 1 1 1 1 ...
$ View : chr "1_" "1_" "1_" "1_" ...
$ D_V_T : Factor w/ 153 levels "20191118_1__1",..: 1 1 1 1 1 1 1 1 1 1 ...
$ D_V : Factor w/ 35 levels "20191118_1_",..: 1 1 1 1 1 1 1 1 1 1 ...
$ Flow.rate : num 0 0 0 0 0 0 0 0 0 0 ...
$ Chlorophyll: num 0 0 0 0 0 0 0 0 0 0 ...
$ Guano : chr "Absent" "Absent" "Absent" "Absent" ...
$ Light : chr "Present" "Present" "Present" "Present" ...
$ dx : num NaN NaN NaN NaN -0.00115 ...
$ dy : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...
$ dz : num NaN NaN NaN 0.00168 NaN ...
$ d : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...
$ vx : num NaN NaN NaN NaN -0.0345 ...
$ vy : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...
$ vz : num NaN NaN NaN 0.0503 NaN ...
$ v : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...
$ heading : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...
$ pitch : num NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN ...TotalData$Flow.rate <- as.factor(TotalData$Flow.rate)
TotalData$Chlorophyll <- as.factor(TotalData$Chlorophyll)
Now looking at turning angles
TotalData$turn.anglexy <- atan2(TotalData$X, TotalData$Y)
TotalData$turn.angleyz <- atan2(TotalData$Y, TotalData$Z)
lth <- dim(TotalData)[1]
dx1 <- TotalData$dx[1:(lth-1)]
dx2 <- TotalData$dx[2:lth]
dy1 <- TotalData$dy[1:(lth-1)]
dy2 <- TotalData$dy[2:lth]
dz1 <- TotalData$dz[1:(lth-1)]
dz2 <- TotalData$dz[2:lth]
D <- (dx1*dx2)+(dy1*dy2)+(dz1*dz2)
d1 <- sqrt(dx1^2 + dy1^2 +dz1^2)
d2 <- sqrt(dx2^2 + dy2^2 +dz2^2)
dd <- D/d1/d2
hist(acos(dd)/pi*180)Warning in acos(dd) : NaNs producedTotalData$turn.angle <- c(NA, acos(D/d1/d2))/pi*180Warning in acos(D/d1/d2) : NaNs producedhead(TotalData)CC.TotalData <- na.omit(TotalData)
head(CC.TotalData)tail(CC.TotalData)str(CC.TotalData)'data.frame': 1112228 obs. of 26 variables:
$ Date : chr "20191118" "20191118" "20191118" "20191118" ...
$ File.name : chr "20191118_view1_" "20191118_view1_" "20191118_view1_" "20191118_view1_" ...
$ X : num 0.327 0.163 0.18 0.167 0.158 ...
$ Y : num 0.0717 0.0405 0.0373 0.0891 0.113 ...
$ Z : num -0.0595 -0.0774 -0.0835 -0.1104 -0.0953 ...
$ Track : int 1 1 1 1 1 1 1 1 1 1 ...
$ View : chr "1_" "1_" "1_" "1_" ...
$ D_V_T : Factor w/ 153 levels "20191118_1__1",..: 1 1 1 1 1 1 1 1 1 1 ...
$ D_V : Factor w/ 35 levels "20191118_1_",..: 1 1 1 1 1 1 1 1 1 1 ...
$ Flow.rate : Factor w/ 5 levels "0","0.6","3",..: 1 1 1 1 1 1 1 1 1 1 ...
$ Chlorophyll : Factor w/ 7 levels "0","4.3","4.6",..: 1 1 1 1 1 1 1 1 1 1 ...
$ Guano : chr "Absent" "Absent" "Absent" "Absent" ...
$ Light : chr "Present" "Present" "Present" "Present" ...
$ dx : num -0.00115 0.00283 0.00282 0 -0.00289 ...
$ dy : num -0.00196 -0.00183 0.00505 0.00511 0.00535 ...
$ dz : num -0.00112 0.00056 -0.00112 0.00112 0.00168 ...
$ d : num 0.00253 0.00342 0.00589 0.00523 0.00631 ...
$ vx : num -0.0345 0.0849 0.0846 0 -0.0867 ...
$ vy : num -0.0587 -0.0548 0.1514 0.1533 0.1605 ...
$ vz : num -0.0335 0.0168 -0.0335 0.0336 0.0503 ...
$ v : num 0.0759 0.1025 0.1767 0.157 0.1892 ...
$ heading : num 0.531 -0.997 0.509 0 -0.495 ...
$ pitch : num -0.458 0.165 -0.191 0.216 0.269 ...
$ turn.anglexy: num 1.36 1.33 1.37 1.08 0.95 ...
$ turn.angleyz: num 2.26 2.66 2.72 2.46 2.27 ...
$ turn.angle : num 12.1 31.1 59.3 26.6 16.7 ...
- attr(*, "na.action")= 'omit' Named int [1:613677] 1 2 3 4 5 6 7 8 9 10 ...
..- attr(*, "names")= chr [1:613677] "65" "67" "70" "71" ...CC.TotalData$Flow.rate <- as.character(CC.TotalData$Flow.rate)
CC.TotalData$Chlorophyll<- as.character(CC.TotalData$Chlorophyll)
CC.TotalData$Guano <- as.character(CC.TotalData$Guano)
CC.TotalData$Light <- as.character(CC.TotalData$Light)
CC.TotalData$Flow.rate <- as.numeric(CC.TotalData$Flow.rate)
CC.TotalData$Chlorophyll<- as.numeric(CC.TotalData$Chlorophyll)
head(CC.TotalData)
ind <- unique(CC.TotalData$D_V_T)
## to save ind histogram plots
for (i in 1:length(ind)){
jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
hist(CC.TotalData$turn.angle[CC.TotalData$D_V_T==ind[i]],
breaks = 50,
xlab = "Turn Angles (degrees)",
main = ind[i])
dev.off()
}
plot(CC.TotalData$Flow.rate, CC.TotalData$turn.angle, main = "", xlab = "Flow Rate (cm/s)", ylab = "Turn angle (degrees)")
plot(CC.TotalData$Chlorophyll, CC.TotalData$turn.angle, main = "", xlab = "Chlorophyll (mg/L)", ylab = "Turn angle (degrees)")
library(ggplot2)Need help? Try Stackoverflow: https://stackoverflow.com/tags/ggplot2ggplot(TotalData,aes(x=Flow.rate, y=log10(v), fill=Chlorophyll))+
geom_boxplot(notch=F, notchwidth=0.3,outlier.shape=1,outlier.size=2, coef=1.5)+
theme(axis.text=element_text(color="black"))+
theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.4))+
theme(panel.grid.minor=element_blank())+
labs(size= "",x = "Flow Rate (cm/s)", y = "Velocity (Log transformed)(mm/s)", title = "Light") +
scale_fill_manual(values=c("greenyellow", "yellowgreen","lightgreen", "green", "green3", "green4", "darkgreen"),name = "Chlorophyll (mg/L)",
labels=c("0", "4.3", "4.6", "6.1", "7.6", "13.5", "19"))+
facet_grid(~Light, scales = "free_x", space = "free")Warning: Removed 597081 rows containing non-finite values (stat_boxplot).
ggplot(TotalData,aes(x=Flow.rate, y=turn.angle, fill=Chlorophyll))+
geom_boxplot(notch=F, notchwidth=0.3,outlier.shape=1,outlier.size=2, coef=1.5)+
theme(axis.text=element_text(color="black"))+
theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.4))+
theme(panel.grid.minor=element_blank())+
labs(size= "",x = "Flow Rate (cm/s)", y = "Turn Angle (degrees)", title = "Light") +
scale_fill_manual(values=c("greenyellow", "yellowgreen","lightgreen", "green", "green3", "green4", "darkgreen"),name = "Chlorophyll (mg/L)",
labels=c("0", "4.3", "4.6", "6.1", "7.6", "13.5", "19"))+
facet_grid(~Light, scales = "free_x", space = "free")Warning: Removed 609316 rows containing non-finite values (stat_boxplot).
Starting to look at bi-modality in the variables by merging the TotalData frame with the “tab” table
##aggregating Complete cases of TotalData so we can merge it with tab data
AGG_TD <- aggregate(CC.TotalData, by = list(CC.TotalData$D_V_T), FUN = mean)Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
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argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
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argument is not numeric or logical: returning NAhead(AGG_TD)AGG_TD <- AGG_TD[ -c(2:3, 8:10) ]
colnames(AGG_TD) <- c("Ind", "X", "Y", "Z", "Track", "Flow.Rate", "Chlorophyll", "Guano", "Light", "dx", "dy", "dz", "d", "vx", "vy", "vz", "v", "heading", "pitch", "turn.anglexy", "turn.angleyz", "turn.angle")
head(AGG_TD)tail(AGG_TD)
tab_AGG <- merge(AGG_TD, tab, by = "Ind")
head(tab_AGG)str(tab_AGG)'data.frame': 133 obs. of 26 variables:
$ Ind : Factor w/ 153 levels "20191118_1__1",..: 1 2 3 4 5 6 7 8 9 10 ...
$ X : num 0.14 0.1392 0.1837 0.0812 0.1202 ...
$ Y : num 0.318 0.197 0.223 0.349 0.223 ...
$ Z : num -0.0834 -0.0735 -0.1501 -0.0605 -0.0568 ...
$ Track : num 1 1 2 3 4 5 1 2 3 4 ...
$ Flow.Rate : num 0 0 0 0 0 0 0 0 0 0 ...
$ Chlorophyll : num 0 0 0 0 0 0 0 0 0 0 ...
$ Guano : num NA NA NA NA NA NA NA NA NA NA ...
$ Light : num NA NA NA NA NA NA NA NA NA NA ...
$ dx : num -1.28e-03 -1.83e-05 -2.21e-05 8.11e-06 3.77e-05 ...
$ dy : num -2.70e-03 5.24e-05 -6.01e-07 -1.79e-05 -5.16e-05 ...
$ dz : num -1.55e-04 -6.65e-06 3.35e-05 -8.46e-06 -9.50e-06 ...
$ d : num 0.00811 0.00357 0.00327 0.00296 0.00394 ...
$ vx : num -0.038454 -0.00055 -0.000662 0.000243 0.00113 ...
$ vy : num -0.081119 0.001571 -0.000018 -0.000536 -0.001547 ...
$ vz : num -0.004635 -0.0002 0.001006 -0.000254 -0.000285 ...
$ v : num 0.2433 0.107 0.098 0.0888 0.1181 ...
$ heading : num 2.15e-01 1.90e-02 1.14e-05 7.21e-03 -1.43e-02 ...
$ pitch : num 0.0151 -0.0119 0.0122 -0.0339 -0.0321 ...
$ turn.anglexy : num 0.46 0.709 0.787 0.276 0.574 ...
$ turn.angleyz : num 1.89 2.13 2.33 1.79 2.02 ...
$ turn.angle : num 23.7 94.1 93.6 85.8 88 ...
$ dip.test : num [1:133, 1] 7.56e-01 1.74e-03 1.41e-06 0.00 4.45e-03 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:133] "d.p" "d.p" "d.p" "d.p" ...
.. ..$ : NULL
$ skew : num [1:133, 1] -0.721 -0.416 -0.419 -0.51 -0.396 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:133] "s" "s" "s" "s" ...
.. ..$ : NULL
$ mean.velocity: num [1:133, 1] -0.617 -0.971 -1.009 -1.052 -0.928 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:133] "mean.v" "mean.v" "mean.v" "mean.v" ...
.. ..$ : NULL
$ sd.velocity : num [1:133, 1] -0.985 -0.672 -0.829 -0.869 -0.452 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:133] "sd.v" "sd.v" "sd.v" "sd.v" ...
.. ..$ : NULLtab_AGG$Flow.Rate <- as.factor(tab_AGG$Flow.Rate)
tab_AGG$Chlorophyll <- as.factor(tab_AGG$Chlorophyll)
freq <- table(tab_AGG$Flow.Rate, tab_AGG$Chlorophyll)
print(freq)
0 4.3 4.6 6.1 7.6 13.5 19
0 48 0 0 0 12 0 13
0.6 2 8 4 4 0 3 0
3 4 0 0 0 0 0 0
5.9 23 0 0 0 0 0 0
8.9 12 0 0 0 0 0 0prob <- prop.table(freq) ##Relative Frequency Table
print (prob)
0 4.3 4.6 6.1 7.6 13.5 19
0 0.36090226 0.00000000 0.00000000 0.00000000 0.09022556 0.00000000 0.09774436
0.6 0.01503759 0.06015038 0.03007519 0.03007519 0.00000000 0.02255639 0.00000000
3 0.03007519 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
5.9 0.17293233 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
8.9 0.09022556 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000##starting to plot the dip test and skew in the variables
plot(tab_AGG$Flow.Rate, tab_AGG$dip.test, xlab = "Flow Rate (cm/s)", ylab = "Dip Test (p.value)")
plot(tab_AGG$Flow.Rate, tab_AGG$skew, xlab = "Flow Rate (cm/s)", ylab = "Skew Test (p.value)")
plot(tab_AGG$Chlorophyll, tab_AGG$dip.test, xlab = "Chlorophyll (mg/L)", ylab = "Dip Test (p.value)")
plot(tab_AGG$Chlorophyll, tab_AGG$skew, xlab = "Chlorophyll (mg/L)", ylab = "Skew Test (p.value)")
## to save each ind graph
for (i in 1:length(ind)){
jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
plot(CC.TotalData$turn.angle[CC.TotalData$D_V_T==ind[i]], log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
xlab = "Turn Angles (degrees)",
ylab = "Velocity (LOg^10, mm/s)",
main = ind[i])
dev.off()
}
hist(CC.TotalData$turn.angle, breaks = 100)
NA
NA
NAsave.image("~/Post-doc/Data/Total Merged Data File (April 5 2022).RData")
---
title: "Checking Distribution for Variables"
output: html_notebook
---

Plot and fit distributions of variables

```{r}

load("C:\\Users\\Nicole Hellessey\\Documents\\Post-doc\\Data\\Total Data Merged File (April 5 2022).Rda")

hist(log10(TotalData$v),
     xlab = "Velocity (Log^10 mm/s)")

```

Histogram of Velocity of all

Log distribution, 0's make up 3% of all data

```{r}
CC.TotalData <- na.omit(TotalData)
head(CC.TotalData)
10^mean(log10(CC.TotalData$v[CC.TotalData$v>0]))
sd(log10(CC.TotalData$v[CC.TotalData$v>0]))

```
Now we're going to plot each unique krill and their bimodality with a dip test (less than 0.05 is multimodality)

```{r}
ind <- unique(CC.TotalData$D_V_T)
print(ind)
length(ind)
library(diptest)
library(DescTools)

tab <- matrix(data = NA, nrow = 133, ncol =5, byrow = T)
colnames(tab) <- c('dip.test', 'skew', 'mean.velocity', 'sd.velocity', 'Ind')

tab <- as.data.frame(tab)
tab$Ind <- ind
mean.vel <- NULL
sd.vel <- NULL
d.v <- NULL
s.v <- NULL

for (i in 1:length(ind)){
mean.v <- mean(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])
sd.v <- sd(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])

mean.vel <- rbind(mean.vel, mean.v)
sd.vel <- rbind(sd.vel, sd.v)


vels <- (CC.TotalData$v[CC.TotalData$D_V_T==ind[i]])
vels <- log10(vels[vels>0])
d <- dip.test(vels)
d.p <- d$p.value
d.v <- rbind(d.v, d.p)

s <- Skew(vels)
s.v <- rbind(s.v, s)
##}

##ind <- unique(CC.TotalData$D_V_T)

##for (i in 1:length(ind)){
 hist(log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
     breaks = 50,
     xlab = "Velocity (Log^10 mm/s)",
     main = ind[i],
     sub = d.p)  ## change to d.p or s to print the dip test or skew value as the title instead
}

## to save each ind graph to working directory
for (i in 1:length(ind)){
  jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
 hist(log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
     breaks = 50,
     xlab = "Velocity (Log^10 mm/s)",
     main = ind[i])
dev.off()
}

tab$skew <- s.v
tab$dip.test <- d.v
tab$mean.velocity <- (log10(mean.vel))
tab$sd.velocity <- (log10(sd.vel))
tab
write.table(tab, file = "~/Post-doc/Data/dip.test.skew.vels.csv", sep = ",", col.names = TRUE)

plot(tab)


head(TotalData)
str(TotalData)
TotalData$Flow.rate <- as.factor(TotalData$Flow.rate)
TotalData$Chlorophyll <- as.factor(TotalData$Chlorophyll)

```


Now looking at turning angles

```{r}
TotalData$turn.anglexy <- atan2(TotalData$X, TotalData$Y)
TotalData$turn.angleyz <- atan2(TotalData$Y, TotalData$Z)


lth <- dim(TotalData)[1]
dx1 <- TotalData$dx[1:(lth-1)]
dx2 <- TotalData$dx[2:lth]
dy1 <- TotalData$dy[1:(lth-1)]
dy2 <- TotalData$dy[2:lth]
dz1 <- TotalData$dz[1:(lth-1)]
dz2 <- TotalData$dz[2:lth]
D <- (dx1*dx2)+(dy1*dy2)+(dz1*dz2)
d1 <- sqrt(dx1^2 + dy1^2 +dz1^2)
d2 <- sqrt(dx2^2 + dy2^2 +dz2^2)

dd <- D/d1/d2
hist(acos(dd)/pi*180)

TotalData$turn.angle <- c(NA, acos(D/d1/d2))/pi*180
head(TotalData)
CC.TotalData <- na.omit(TotalData)
head(CC.TotalData)
tail(CC.TotalData)
str(CC.TotalData)
CC.TotalData$Flow.rate <- as.character(CC.TotalData$Flow.rate)
CC.TotalData$Chlorophyll<- as.character(CC.TotalData$Chlorophyll)
CC.TotalData$Guano <- as.character(CC.TotalData$Guano)
CC.TotalData$Light <- as.character(CC.TotalData$Light)


CC.TotalData$Flow.rate <- as.numeric(CC.TotalData$Flow.rate)
CC.TotalData$Chlorophyll<- as.numeric(CC.TotalData$Chlorophyll)

head(CC.TotalData)

ind <- unique(CC.TotalData$D_V_T)

## to save ind histogram plots
for (i in 1:length(ind)){
jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
hist(CC.TotalData$turn.angle[CC.TotalData$D_V_T==ind[i]],
     breaks = 50,
     xlab = "Turn Angles (degrees)",
     main = ind[i]) 
dev.off()
}

plot(CC.TotalData$Flow.rate, CC.TotalData$turn.angle, main = "", xlab = "Flow Rate (cm/s)", ylab = "Turn angle (degrees)")

plot(CC.TotalData$Chlorophyll, CC.TotalData$turn.angle, main = "", xlab = "Chlorophyll (mg/L)", ylab = "Turn angle (degrees)")

library(ggplot2)
ggplot(TotalData,aes(x=Flow.rate, y=log10(v), fill=Chlorophyll))+
  geom_boxplot(notch=F, notchwidth=0.3,outlier.shape=1,outlier.size=2, coef=1.5)+
  theme(axis.text=element_text(color="black"))+
  theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.4))+
  theme(panel.grid.minor=element_blank())+
  labs(size= "",x = "Flow Rate (cm/s)", y = "Velocity (Log transformed)(mm/s)", title = "Light") +
  scale_fill_manual(values=c("greenyellow", "yellowgreen","lightgreen", "green", "green3", "green4", "darkgreen"),name = "Chlorophyll (mg/L)",
                    labels=c("0", "4.3", "4.6", "6.1", "7.6", "13.5", "19"))+
  facet_grid(~Light, scales = "free_x", space = "free")

ggplot(TotalData,aes(x=Flow.rate, y=turn.angle, fill=Chlorophyll))+
  geom_boxplot(notch=F, notchwidth=0.3,outlier.shape=1,outlier.size=2, coef=1.5)+
  theme(axis.text=element_text(color="black"))+
  theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.4))+
  theme(panel.grid.minor=element_blank())+
  labs(size= "",x = "Flow Rate (cm/s)", y = "Turn Angle (degrees)", title = "Light") +
  scale_fill_manual(values=c("greenyellow", "yellowgreen","lightgreen", "green", "green3", "green4", "darkgreen"),name = "Chlorophyll (mg/L)",
                    labels=c("0", "4.3", "4.6", "6.1", "7.6", "13.5", "19"))+
  facet_grid(~Light, scales = "free_x", space = "free")

```

Starting to look at bi-modality in the variables by merging the TotalData frame with the "tab" table
```{r}
##aggregating Complete cases of TotalData so we can merge it with tab data

AGG_TD <- aggregate(CC.TotalData, by = list(CC.TotalData$D_V_T), FUN = mean)
head(AGG_TD)
AGG_TD <- AGG_TD[ -c(2:3, 8:10) ]
colnames(AGG_TD) <- c("Ind", "X", "Y", "Z", "Track", "Flow.Rate", "Chlorophyll", "Guano", "Light", "dx", "dy", "dz", "d", "vx", "vy", "vz", "v", "heading", "pitch", "turn.anglexy", "turn.angleyz", "turn.angle")
head(AGG_TD)
tail(AGG_TD)


tab_AGG <- merge(AGG_TD, tab, by = "Ind")
head(tab_AGG)
str(tab_AGG)
tab_AGG$Flow.Rate <- as.factor(tab_AGG$Flow.Rate)
tab_AGG$Chlorophyll <- as.factor(tab_AGG$Chlorophyll)

freq <- table(tab_AGG$Flow.Rate, tab_AGG$Chlorophyll)
print(freq)
prob <- prop.table(freq) ##Relative Frequency Table
print (prob)

##starting to plot the dip test and skew in the variables
plot(tab_AGG$Flow.Rate, tab_AGG$dip.test, xlab = "Flow Rate (cm/s)", ylab = "Dip Test (p.value)")
plot(tab_AGG$Flow.Rate, tab_AGG$skew, xlab = "Flow Rate (cm/s)", ylab = "Skew Test (p.value)")
plot(tab_AGG$Chlorophyll, tab_AGG$dip.test, xlab = "Chlorophyll (mg/L)", ylab = "Dip Test (p.value)")
plot(tab_AGG$Chlorophyll, tab_AGG$skew, xlab = "Chlorophyll (mg/L)", ylab = "Skew Test (p.value)")


## to save each ind graph
for (i in 1:length(ind)){
  jpeg(filename=paste(ind[i], '.jpeg', sep = ''), width = 480, height = 480)
plot(CC.TotalData$turn.angle[CC.TotalData$D_V_T==ind[i]], log10(CC.TotalData$v[CC.TotalData$D_V_T==ind[i]]),
            xlab = "Turn Angles (degrees)",
     ylab = "Velocity (LOg^10, mm/s)",
          main = ind[i]) 
dev.off()
}
```
```{r}
hist(CC.TotalData$turn.angle, breaks = 100)



```



```{r}
save.image("~/Post-doc/Data/Total Merged Data File (April 5 2022).RData")

```



